3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.

Job Description

Responsible for developing and answering business questions at an intermediate level using scientific methods/techniques that use data to train algorithms and statistical models.

Develop novel algorithms and solutions for R&D, product development, manufacturing and business operations. Apply intermediate knowledge of statistics, computer science, machine learning, programming, data modeling and simulation to address challenges across 3M.

Gather, transform, and integrate large volumes of data, perform analysis, interpret results, and develop actionable insights and recommendations for use within business groups and across 3M.

Analyze data, develop algorithms, and deploy solutions based on real-world data.

Assist with the design and creation of software applications as a member of a cross-functional team of software developers, engineers, and scientists.

【Job Responsibilities】

Conduct materials simulation work for adhesive, film and tape products, primarily for automotive OEM customers
Develop predictive models for material properties using machine learning and statistical analysis
Analyze experimental data to identify key performance factors
Support the enhancement of product design and development processes through simulation results
Collaborate with global teams including Division lab and Corporate lab.
Prepare technical reports and present analysis results or proposals to stakeholders and customers

【Requirements】

Master's degree in Material science, Materials Engineering, Chemical Engineering, Mechanical Engineering, Data Science or related fields
Experience with data analysis and model development using Python, R, or similar languages
5 years+ practical experience in modeling and simulation of material properties or material structures, machine learning, or numerical simulation (e.g., finite element analysis)
Experience handling large datasets and using data visualization tools
Strong communication skills with the ability to explain technical content clearly
Willingness to learn new methods and technologies and apply them to business needs
Fluent in English and Japanese.

【Preferred Qualifications】

Doctor's degree is a plus but not always required
Knowledge in materials science, polymer science, or adhesives
Experience in product development or customer support for the automotive industry
Experience handling material evaluation or physical testing data
Experience developing machine‑learning models for predicting material properties

We would like to work with individuals who demonstrate the following qualities.

Ability to take initiative and demonstrate strong execution.
Capable of driving responsibilities independently and exhibiting leadership when needed.
Able to proactively address issues and respond flexibly to changing situations.

Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.

Safety is a core value at 3M.

All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.

Please note:
your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

3M Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website.

Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
Show more Show less

---